APS
2022 APS Annual Convention
Predicting to Prevent: Using Modern Modeling Techniques to Predict Transdiagnostic Features of Physical and Mental Health
Across diagnostic categories, there exist events that signal acute and chronic risk to health and well-being (e.g., disordered eating, episodes of physical pain, substance use, suicide attempts). This symposium gathers researchers to discuss a new generation of work using intensive longitudinal data to predict these events before they occur.
Chairs & Discussants
- Peter SoysterChair
University of California, Berkeley
Presentations
- A Pilot Study Using Frequent Inpatient Assessments of Suicidal Thinking to Predict Short-Term Postdischarge Suicidal BehaviorShirley Wang
- Personalized Models of Alcohol and Tobacco ConsumptionPeter Soyster
- Idiographic Prediction of Physical Pain in Young and Older AdultsEmorie Beck
- Binge Eating, Purging, and Restriction Symptoms: Increasing Accuracy of Prediction Using Machine LearningCheri Levinson
